MSP-results
waller-d
6/19/2020
Retention and graduation percentages for students enrolled in Fall 2013 or earlier are summarized in the following tables.
Note: Population breakdowns are given for first-time full-time students Note: Bar charts and line charts are for all students
| N | Mean SAT | SE SAT | % 1 year retention | % 6 year graduation | Gap | 1st Year GPA | 1st Year Credits Attempted | 1st Year Credits Earned | GPA Upon Leaving |
|---|---|---|---|---|---|---|---|---|---|
| 88880 | 1261.308 | 0.481 | 0.904 | 0.529 | 0.055 | 2.989 | 44 | 42 | 2.689 |
Starting Term
Minoritized Students
| Minoritized Students | N | Mean SAT | SE SAT | % 1 year retention | % 6 year graduation | 3 Year Retention Gap | 1st Year GPA | 1st Year Credits Attempted | 1st Year Credits Earned | GPA Upon Leaving |
|---|---|---|---|---|---|---|---|---|---|---|
| No | 43169 | 1248.947 | 0.662 | 0.894 | 0.763 | 0.040 | 2.940 | 41 | 39 | 2.739 |
| Yes | 3766 | 1163.954 | 2.297 | 0.871 | 0.680 | -0.002 | 2.666 | 41 | 38 | 2.438 |
##
##
## Cell Contents
## |-------------------------|
## | N |
## | N / Row Total |
## |-------------------------|
##
##
## Total Observations in Table: 88880
##
##
## | Gender
## URM | Female | Male | Row Total |
## -------------|-----------|-----------|-----------|
## No | 35465 | 45444 | 80909 |
## | 0.438 | 0.562 | 0.910 |
## -------------|-----------|-----------|-----------|
## Yes | 3900 | 4071 | 7971 |
## | 0.489 | 0.511 | 0.090 |
## -------------|-----------|-----------|-----------|
## Column Total | 39365 | 49515 | 88880 |
## -------------|-----------|-----------|-----------|
##
## ##
##
## Cell Contents
## |-------------------------|
## | N |
## | N / Row Total |
## |-------------------------|
##
##
## Total Observations in Table: 88880
##
##
## | First-generation
## URM | No | Yes | Row Total |
## -------------|-----------|-----------|-----------|
## No | 63300 | 17609 | 80909 |
## | 0.782 | 0.218 | 0.910 |
## -------------|-----------|-----------|-----------|
## Yes | 4975 | 2996 | 7971 |
## | 0.624 | 0.376 | 0.090 |
## -------------|-----------|-----------|-----------|
## Column Total | 68275 | 20605 | 88880 |
## -------------|-----------|-----------|-----------|
##
## 
Ethnicity
| Ethnicity | N | Mean SAT | SE SAT | % 1 year retention | % 6 year graduation | 3 Year Retention Gap | 1st Year GPA | 1st Year Credits Attempted | 1st Year Credits Earned | GPA Upon Leaving |
|---|---|---|---|---|---|---|---|---|---|---|
| International | 7450 | 1292.867 | 1.253 | 0.901 | 0.783 | 0.117 | 3.042 | 37 | 35 | 2.906 |
| White | 32162 | 1237.837 | 0.773 | 0.891 | 0.761 | 0.025 | 2.921 | 41 | 39 | 2.699 |
| Asian | 2280 | 1304.521 | 2.894 | 0.917 | 0.746 | 0.008 | 2.884 | 44 | 41 | 2.655 |
| Hispanic/Latino | 1695 | 1197.686 | 3.417 | 0.882 | 0.714 | 0.025 | 2.753 | 44 | 41 | 2.525 |
| Black or African American | 1562 | 1113.118 | 3.220 | 0.866 | 0.641 | -0.033 | 2.546 | 39 | 35 | 2.354 |
##
##
## Cell Contents
## |-------------------------|
## | N |
## | N / Row Total |
## |-------------------------|
##
##
## Total Observations in Table: 88880
##
##
## | Gender
## Ethnicity | Female | Male | Row Total |
## ------------------------------------------|-----------|-----------|-----------|
## 2 or more races | 989 | 1027 | 2016 |
## | 0.491 | 0.509 | 0.023 |
## ------------------------------------------|-----------|-----------|-----------|
## American Indian or Alaska Native | 91 | 86 | 177 |
## | 0.514 | 0.486 | 0.002 |
## ------------------------------------------|-----------|-----------|-----------|
## Asian | 2174 | 3522 | 5696 |
## | 0.382 | 0.618 | 0.064 |
## ------------------------------------------|-----------|-----------|-----------|
## Black or African American | 1427 | 1390 | 2817 |
## | 0.507 | 0.493 | 0.032 |
## ------------------------------------------|-----------|-----------|-----------|
## Hispanic/Latino | 1820 | 2076 | 3896 |
## | 0.467 | 0.533 | 0.044 |
## ------------------------------------------|-----------|-----------|-----------|
## International | 4821 | 8805 | 13626 |
## | 0.354 | 0.646 | 0.153 |
## ------------------------------------------|-----------|-----------|-----------|
## Native Hawaiian or Other Pacific Islander | 28 | 31 | 59 |
## | 0.475 | 0.525 | 0.001 |
## ------------------------------------------|-----------|-----------|-----------|
## Unknown | 772 | 1086 | 1858 |
## | 0.416 | 0.584 | 0.021 |
## ------------------------------------------|-----------|-----------|-----------|
## White | 27243 | 31492 | 58735 |
## | 0.464 | 0.536 | 0.661 |
## ------------------------------------------|-----------|-----------|-----------|
## Column Total | 39365 | 49515 | 88880 |
## ------------------------------------------|-----------|-----------|-----------|
##
## ##
##
## Cell Contents
## |-------------------------|
## | N |
## | N / Row Total |
## |-------------------------|
##
##
## Total Observations in Table: 88880
##
##
## | First-generation
## Ethnicity | No | Yes | Row Total |
## ------------------------------------------|-----------|-----------|-----------|
## 2 or more races | 1501 | 515 | 2016 |
## | 0.745 | 0.255 | 0.023 |
## ------------------------------------------|-----------|-----------|-----------|
## American Indian or Alaska Native | 132 | 45 | 177 |
## | 0.746 | 0.254 | 0.002 |
## ------------------------------------------|-----------|-----------|-----------|
## Asian | 4674 | 1022 | 5696 |
## | 0.821 | 0.179 | 0.064 |
## ------------------------------------------|-----------|-----------|-----------|
## Black or African American | 1784 | 1033 | 2817 |
## | 0.633 | 0.367 | 0.032 |
## ------------------------------------------|-----------|-----------|-----------|
## Hispanic/Latino | 2366 | 1530 | 3896 |
## | 0.607 | 0.393 | 0.044 |
## ------------------------------------------|-----------|-----------|-----------|
## International | 11247 | 2379 | 13626 |
## | 0.825 | 0.175 | 0.153 |
## ------------------------------------------|-----------|-----------|-----------|
## Native Hawaiian or Other Pacific Islander | 42 | 17 | 59 |
## | 0.712 | 0.288 | 0.001 |
## ------------------------------------------|-----------|-----------|-----------|
## Unknown | 1546 | 312 | 1858 |
## | 0.832 | 0.168 | 0.021 |
## ------------------------------------------|-----------|-----------|-----------|
## White | 44983 | 13752 | 58735 |
## | 0.766 | 0.234 | 0.661 |
## ------------------------------------------|-----------|-----------|-----------|
## Column Total | 68275 | 20605 | 88880 |
## ------------------------------------------|-----------|-----------|-----------|
##
## 
First-Generation
| First-Generation | N | Mean SAT | SE SAT | % 1 year retention | % 6 year graduation | 3 Year Retention Gap | 1st Year GPA | 1st Year Credits Attempted | 1st Year Credits Earned | GPA Upon Leaving |
|---|---|---|---|---|---|---|---|---|---|---|
| No | 35922 | 1256.740 | 0.734 | 0.900 | 0.777 | 0.045 | 2.961 | 41 | 39 | 2.766 |
| Yes | 11013 | 1194.366 | 1.257 | 0.866 | 0.689 | 0.009 | 2.775 | 39 | 36 | 2.550 |
##
##
## Cell Contents
## |-------------------------|
## | N |
## | N / Row Total |
## |-------------------------|
##
##
## Total Observations in Table: 88880
##
##
## | Gender
## First-generation | Female | Male | Row Total |
## -----------------|-----------|-----------|-----------|
## No | 29254 | 39021 | 68275 |
## | 0.428 | 0.572 | 0.768 |
## -----------------|-----------|-----------|-----------|
## Yes | 10111 | 10494 | 20605 |
## | 0.491 | 0.509 | 0.232 |
## -----------------|-----------|-----------|-----------|
## Column Total | 39365 | 49515 | 88880 |
## -----------------|-----------|-----------|-----------|
##
## 
Gender
| Gender | N | Mean SAT | SE SAT | % 1 year retention | % 6 year graduation | 3 Year Retention Gap | 1st Year GPA | 1st Year Credits Attempted | 1st Year Credits Earned | GPA Upon Leaving |
|---|---|---|---|---|---|---|---|---|---|---|
| Female | 20862 | 1213.401 | 0.940 | 0.883 | 0.771 | 0.058 | 3.002 | 41 | 39 | 2.833 |
| Male | 26073 | 1263.863 | 0.862 | 0.899 | 0.745 | 0.019 | 2.850 | 41 | 38 | 2.626 |
Transfer Students
| Transfer | N | Mean SAT | SE SAT | % 1 year retention | % 6 year graduation | 3 Year Retention Gap | 1st Year GPA | 1st Year Credits Attempted | 1st Year Credits Earned | GPA Upon Leaving |
|---|---|---|---|---|---|---|---|---|---|---|
| No | 40402 | 1249.405 | 0.677 | 0.909 | 0.774 | -0.015 | 2.931 | 39 | 37 | 2.699 |
| Yes | 6533 | 1147.763 | 1.872 | 0.783 | 0.648 | 0.356 | 2.828 | 73 | 69 | 2.771 |
##
##
## Cell Contents
## |-------------------------|
## | N |
## | N / Row Total |
## |-------------------------|
##
##
## Total Observations in Table: 88880
##
##
## | Gender
## Transfer | Female | Male | Row Total |
## -------------|-----------|-----------|-----------|
## No | 33647 | 43988 | 77635 |
## | 0.433 | 0.567 | 0.873 |
## -------------|-----------|-----------|-----------|
## Yes | 5718 | 5527 | 11245 |
## | 0.508 | 0.492 | 0.127 |
## -------------|-----------|-----------|-----------|
## Column Total | 39365 | 49515 | 88880 |
## -------------|-----------|-----------|-----------|
##
## ##
##
## Cell Contents
## |-------------------------|
## | N |
## | N / Row Total |
## |-------------------------|
##
##
## Total Observations in Table: 88880
##
##
## | URM
## Transfer | No | Yes | Row Total |
## -------------|-----------|-----------|-----------|
## No | 70695 | 6940 | 77635 |
## | 0.911 | 0.089 | 0.873 |
## -------------|-----------|-----------|-----------|
## Yes | 10214 | 1031 | 11245 |
## | 0.908 | 0.092 | 0.127 |
## -------------|-----------|-----------|-----------|
## Column Total | 80909 | 7971 | 88880 |
## -------------|-----------|-----------|-----------|
##
## ##
##
## Cell Contents
## |-------------------------|
## | N |
## | N / Row Total |
## |-------------------------|
##
##
## Total Observations in Table: 88880
##
##
## | First Generation
## Transfer | No | Yes | Row Total |
## -------------|-----------|-----------|-----------|
## No | 60027 | 17608 | 77635 |
## | 0.773 | 0.227 | 0.873 |
## -------------|-----------|-----------|-----------|
## Yes | 8248 | 2997 | 11245 |
## | 0.733 | 0.267 | 0.127 |
## -------------|-----------|-----------|-----------|
## Column Total | 68275 | 20605 | 88880 |
## -------------|-----------|-----------|-----------|
##
## 
Regression Analyses
##
## Call:
## lm(formula = one_year_overall_gpa.z ~ SAT_new.z, data = students_complete_ethnicity)
##
## Residuals:
## Min 1Q Median 3Q Max
## -4.5774 -0.4550 0.1621 0.6710 2.1255
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.003748 0.003526 1.063 0.288
## SAT_new.z 0.303434 0.003524 86.110 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9288 on 69384 degrees of freedom
## (15384 observations deleted due to missingness)
## Multiple R-squared: 0.09655, Adjusted R-squared: 0.09654
## F-statistic: 7415 on 1 and 69384 DF, p-value: < 2.2e-16##
## Call:
## lm(formula = one_year_overall_gpa.z ~ SAT_new.z + ethnicity.f,
## data = students_complete_ethnicity)
##
## Residuals:
## Min 1Q Median 3Q Max
## -4.5961 -0.4536 0.1610 0.6677 2.0990
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -0.117745 0.013568 -8.678 < 2e-16 ***
## SAT_new.z 0.301534 0.003645 82.731 < 2e-16 ***
## ethnicity.fAsian 0.144269 0.014191 10.167 < 2e-16 ***
## ethnicity.fBlack or African American 0.140296 0.017270 8.124 4.6e-16 ***
## ethnicity.fHispanic/Latino 0.016604 0.021460 0.774 0.439
## ethnicity.fInternational -0.047340 0.023829 -1.987 0.047 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9273 on 69380 degrees of freedom
## (15384 observations deleted due to missingness)
## Multiple R-squared: 0.09961, Adjusted R-squared: 0.09954
## F-statistic: 1535 on 5 and 69380 DF, p-value: < 2.2e-16##
## Call:
## lm(formula = one_year_overall_gpa.z ~ SAT_new.z + ethnicity.f +
## factor(profile_gender_desc), data = students_complete_ethnicity)
##
## Residuals:
## Min 1Q Median 3Q Max
## -4.7158 -0.4451 0.1610 0.6522 2.2465
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.056708 0.013999 4.051 5.11e-05 ***
## SAT_new.z 0.329496 0.003656 90.116 < 2e-16 ***
## ethnicity.fAsian 0.137724 0.014008 9.832 < 2e-16 ***
## ethnicity.fBlack or African American 0.167015 0.017058 9.791 < 2e-16 ***
## ethnicity.fHispanic/Latino 0.014808 0.021182 0.699 0.4845
## ethnicity.fInternational -0.046445 0.023521 -1.975 0.0483 *
## factor(profile_gender_desc)TRUE -0.306335 0.007155 -42.816 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9153 on 69379 degrees of freedom
## (15384 observations deleted due to missingness)
## Multiple R-squared: 0.1228, Adjusted R-squared: 0.1227
## F-statistic: 1619 on 6 and 69379 DF, p-value: < 2.2e-16##
## Call:
## glm(formula = one_year_retention_flag ~ ethnicity.f, family = binomial(link = "logit"),
## data = students_complete_ethnicity)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -2.3236 0.4144 0.4552 0.4552 0.5143
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 2.62988 0.05291 49.707 < 2e-16 ***
## ethnicity.fAsian -0.41503 0.05469 -7.589 3.23e-14 ***
## ethnicity.fBlack or African American -0.21797 0.06141 -3.549 0.000386 ***
## ethnicity.fHispanic/Latino -0.58660 0.07298 -8.038 9.16e-16 ***
## ethnicity.fInternational -0.67379 0.07791 -8.648 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 53354 on 84769 degrees of freedom
## Residual deviance: 53221 on 84765 degrees of freedom
## AIC: 53231
##
## Number of Fisher Scoring iterations: 5##
## Call:
## glm(formula = one_year_retention_flag ~ SAT_new.z, family = binomial(link = "logit"),
## data = students_complete_ethnicity)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -2.5962 0.3397 0.3920 0.4517 0.8600
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 2.44652 0.01435 170.44 <2e-16 ***
## SAT_new.z 0.38553 0.01359 28.37 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 40507 on 70012 degrees of freedom
## Residual deviance: 39694 on 70011 degrees of freedom
## (14757 observations deleted due to missingness)
## AIC: 39698
##
## Number of Fisher Scoring iterations: 5##
## Call:
## glm(formula = one_year_retention_flag ~ SAT_new.z + ethnicity.f,
## family = binomial(link = "logit"), data = students_complete_ethnicity)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -2.6338 0.3331 0.3924 0.4557 0.8785
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 2.55554 0.05980 42.733 < 2e-16 ***
## SAT_new.z 0.37318 0.01408 26.502 < 2e-16 ***
## ethnicity.fAsian -0.13459 0.06226 -2.162 0.03064 *
## ethnicity.fBlack or African American 0.07318 0.07668 0.954 0.33989
## ethnicity.fHispanic/Latino -0.26489 0.08389 -3.158 0.00159 **
## ethnicity.fInternational -0.06712 0.09120 -0.736 0.46179
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 40507 on 70012 degrees of freedom
## Residual deviance: 39666 on 70007 degrees of freedom
## (14757 observations deleted due to missingness)
## AIC: 39678
##
## Number of Fisher Scoring iterations: 5##
## Call:
## glm(formula = one_year_retention_flag ~ SAT_new.z + ethnicity.f +
## factor(profile_gender_desc), family = binomial(link = "logit"),
## data = students_complete_ethnicity)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -2.6782 0.3346 0.3921 0.4576 0.9194
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 2.63849 0.06216 42.446 < 2e-16 ***
## SAT_new.z 0.38522 0.01427 26.992 < 2e-16 ***
## ethnicity.fAsian -0.13879 0.06227 -2.229 0.02583 *
## ethnicity.fBlack or African American 0.08585 0.07673 1.119 0.26321
## ethnicity.fHispanic/Latino -0.26788 0.08390 -3.193 0.00141 **
## ethnicity.fInternational -0.06548 0.09126 -0.718 0.47306
## factor(profile_gender_desc)TRUE -0.14096 0.02810 -5.017 5.25e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 40507 on 70012 degrees of freedom
## Residual deviance: 39641 on 70006 degrees of freedom
## (14757 observations deleted due to missingness)
## AIC: 39655
##
## Number of Fisher Scoring iterations: 5##
## Call:
## glm(formula = six_year_graduation_flag ~ ethnicity.f, family = binomial(link = "logit"),
## data = students_complete_ethnicity_1)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -1.7487 0.6990 0.7405 0.7405 0.9430
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.07376 0.04793 22.402 < 2e-16 ***
## ethnicity.fAsian 0.08000 0.04967 1.611 0.107256
## ethnicity.fBlack or African American 0.21090 0.05548 3.801 0.000144 ***
## ethnicity.fHispanic/Latino -0.17013 0.07175 -2.371 0.017729 *
## ethnicity.fInternational -0.49387 0.07112 -6.944 3.81e-12 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 50350 on 45429 degrees of freedom
## Residual deviance: 50194 on 45425 degrees of freedom
## AIC: 50204
##
## Number of Fisher Scoring iterations: 4##
## Call:
## glm(formula = six_year_graduation_flag ~ SAT_new.z, family = binomial(link = "logit"),
## data = students_complete_ethnicity_1)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -2.0136 0.5673 0.6748 0.7572 1.1108
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.26337 0.01247 101.28 <2e-16 ***
## SAT_new.z 0.28762 0.01236 23.27 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 42965 on 39757 degrees of freedom
## Residual deviance: 42414 on 39756 degrees of freedom
## (5672 observations deleted due to missingness)
## AIC: 42418
##
## Number of Fisher Scoring iterations: 4##
## Call:
## glm(formula = six_year_graduation_flag ~ SAT_new.z + ethnicity.f,
## family = binomial(link = "logit"), data = students_complete_ethnicity_1)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -2.0217 0.5610 0.6692 0.7490 1.2418
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.03722 0.05010 20.702 < 2e-16 ***
## SAT_new.z 0.27702 0.01278 21.677 < 2e-16 ***
## ethnicity.fAsian 0.26787 0.05228 5.124 2.99e-07 ***
## ethnicity.fBlack or African American 0.24401 0.06340 3.849 0.000119 ***
## ethnicity.fHispanic/Latino 0.02827 0.07576 0.373 0.708979
## ethnicity.fInternational -0.12347 0.07629 -1.618 0.105572
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 42965 on 39757 degrees of freedom
## Residual deviance: 42335 on 39752 degrees of freedom
## (5672 observations deleted due to missingness)
## AIC: 42347
##
## Number of Fisher Scoring iterations: 4##
## Call:
## glm(formula = six_year_graduation_flag ~ SAT_new.z + ethnicity.f +
## factor(profile_gender_desc), family = binomial(link = "logit"),
## data = students_complete_ethnicity_1)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -2.1376 0.5339 0.6630 0.7529 1.3557
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.25778 0.05274 23.849 < 2e-16 ***
## SAT_new.z 0.30797 0.01299 23.701 < 2e-16 ***
## ethnicity.fAsian 0.25278 0.05243 4.821 1.43e-06 ***
## ethnicity.fBlack or African American 0.27189 0.06361 4.275 1.91e-05 ***
## ethnicity.fHispanic/Latino 0.01910 0.07596 0.251 0.8015
## ethnicity.fInternational -0.12992 0.07659 -1.696 0.0898 .
## factor(profile_gender_desc)TRUE -0.35500 0.02500 -14.202 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 42965 on 39757 degrees of freedom
## Residual deviance: 42131 on 39751 degrees of freedom
## (5672 observations deleted due to missingness)
## AIC: 42145
##
## Number of Fisher Scoring iterations: 4Math 161
Math 162
Additional exploration
Based on the major finding that first-generation students are decreasing in numbers, I compared enrollment for first-generation and non-first-generation students. It seems that first-generation enrollment is stable but increasing enrollment means they are less represented
You can also see this trend with the line chart where enrollment for non-first-generation students has greatly increased while first-generation enrollment has not changed much 
International students have a large jump in retention and graduation between 2008 and 2010. Looking at population, there is slight increase in international students between 2008 and 2010. For international students who took the SAT, scores did not change much between 2008 and 2010.
In terms of program enrollment, there were big increases in engineering, science, and management for international students.
Enrollment in the college of engineering has greatly increased over time while enrollment in liberal arts has dramatically decreased. Considering gender, there is a large increase in enrollment in health and human sciences and large decrease in liberal arts. Engineering and science have had small increases, but much larger for men. Men have also increased enrollment in polytechnic.
SAT scores have been increasing over time, especially for engineering and science, and to a lesser extent in polytechnic.
## Warning: Removed 4 rows containing missing values (geom_point).
## Warning: Removed 4 rows containing missing values (geom_point).
One year retention differences between women and men are not very large, but the gap increases for six year graduation with women outperforming men.
students %>%
filter(Term != "Spring",
profile_reporting_ethnicity %in% c("White","Asian","Black or African American","International","Hispanic/Latino")) %>%
group_by(academic_school_grouping_desc, Year, profile_gender_desc) %>%
summarise(one_year_rentetion = mean(one_year_retention_flag, na.rm = TRUE)) %>%
ggplot() +
geom_point(aes(x = Year, y = one_year_rentetion, group = profile_gender_desc, color = profile_gender_desc)) +
geom_line(aes(x = Year, y = one_year_rentetion, group = profile_gender_desc, color = profile_gender_desc)) +
theme(axis.text.x=element_text(angle=90, hjust=1)) +
facet_grid(. ~ academic_school_grouping_desc)
students %>%
filter(Term != "Spring",
profile_reporting_ethnicity %in% c("White","Asian","Black or African American","International","Hispanic/Latino"),
profile_academic_period <= 201410) %>%
group_by(academic_school_grouping_desc, Year, profile_gender_desc) %>%
summarise(six_year_graduation = mean(six_year_graduation_flag, na.rm = TRUE)) %>%
ggplot() +
geom_point(aes(x = Year, y = six_year_graduation, group = profile_gender_desc, color = profile_gender_desc)) +
geom_line(aes(x = Year, y = six_year_graduation, group = profile_gender_desc, color = profile_gender_desc)) +
theme(axis.text.x=element_text(angle=90, hjust=1)) +
facet_grid(. ~ academic_school_grouping_desc)
students %>%
filter(Term != "Spring",
profile_reporting_ethnicity %in% c("White","Asian","Black or African American","International","Hispanic/Latino")) %>%
group_by(academic_school_grouping_desc, Year, profile_reporting_ethnicity) %>%
summarise(one_year_rentetion = mean(one_year_retention_flag, na.rm = TRUE)) %>%
ggplot() +
geom_point(aes(x = Year, y = one_year_rentetion, group = profile_reporting_ethnicity, color = profile_reporting_ethnicity)) +
geom_line(aes(x = Year, y = one_year_rentetion, group = profile_reporting_ethnicity, color = profile_reporting_ethnicity)) +
theme(axis.text.x=element_text(angle=90, hjust=1)) +
facet_grid(.~academic_school_grouping_desc)
students %>%
filter(Term != "Spring",
profile_reporting_ethnicity %in% c("White","Asian","Black or African American","International","Hispanic/Latino"),
profile_academic_period <= 201410) %>%
group_by(academic_school_grouping_desc, Year, profile_reporting_ethnicity) %>%
summarise(six_year_graduation = mean(six_year_graduation_flag, na.rm = TRUE)) %>%
ggplot() +
geom_point(aes(x = Year, y = six_year_graduation, group = profile_reporting_ethnicity, color = profile_reporting_ethnicity)) +
geom_line(aes(x = Year, y = six_year_graduation, group = profile_reporting_ethnicity, color = profile_reporting_ethnicity)) +
theme(axis.text.x=element_text(angle=90, hjust=1)) +
facet_grid(.~academic_school_grouping_desc)